Eight major trends in the industrial Internet of things (iiot)

Industrial Internet of things (IIoT) It is transforming traditional linear manufacturing into dynamic manufacturing 、 Interconnected system , Help the factory release its potential , More efficient 、 More productive 、 Run more proactively .

By interconnecting traditional machines 、 Sensors and edge devices , And deploy these technologies directly in the manufacturing workshop , The industrial Internet of things can transmit lucrative data ,

Driving operational intelligence  、 Situational awareness and predictive analysis . therefore , Front line managers are empowered to take informed action , Whether it is predictive maintenance of plant equipment , Or find problems before supply chain problems occur .

Although people usually think that the industrial Internet of things is a branch of consumer connection , Just like home automation and wireless communication , But industry first embraced this disruptive technology .

Now , The growth rate of the industrial Internet of things has even exceeded that of the consumer sector , stay 2021 year , The global market for industrial IOT products and services is estimated to be 2630 Billion dollars ( dollar ). It is expected that in the next few years , The market will continue this trend , To 2028.1 The years will reach 1.1 Trillions of dollars

The journey of industrial Internet of things

stay Antaira, We are standing IIoT At the forefront of . By providing advanced network hardware 、 Software and services ,Antaira It solves the problem of preventing visionary managers from making full use of industry 4.0 The complexity of power .

Unlike other companies in our industry that only rebrand Technology ,Antaira Is an original equipment manufacturer  (OEM), In charge of the research 、 patent 、 Design and produce internal solutions . This unique position makes Antaira The flexibility to create custom specifications for their customers , So that they can successfully apply IIoT To build their business .

Antaira Eight key trends have been identified , These trends are being adopted IIoT The principle of network factory implementation . Evolution is the natural process of technology , The industrial Internet of things is no exception . Today's emerging trends will become established business practices tomorrow .

However , Before we start , What we want to emphasize is , Of each manufacturer IIoT The right path for the journey is to start with business problems , And understand the data needed for strategic decisions .

Once you know what problems are being solved and how the benefits will be measured , The next step is to develop a comprehensive plan with clearly defined objectives , To track the progress of business objectives and solutions .

From there , The next step will be to test the sensors 、 connectivity 、 Investment in applications and people . In the whole process ,Antaira Provide knowledge 、 Resources and basic technology , Make it easier for partners to take advantage of IIoT Power , No matter what stage the organization is in .

IIoT The main trend of the market

Many developments are shaping 2022 Industrial Internet in , From connectivity 、 Innovations in software and hardware to enhance human sensory abilities , All of these have the potential to impact production systems and processes through improved data-driven intelligence .

Although this list is not exhaustive , But it does reveal the key driving force behind the industrial Internet of things across industries and functional areas .

1. Artificial intelligence (AI)：  Artificial intelligence is the process of computer simulating human intelligence , To analyze the correlation and pattern of data , And use these models to accurately predict the future state . Enterprises are increasingly deploying artificial intelligence to analyze IIoT data , To track equipment usage 、 Improve workflow 、 Simplify logistics 、 Improve security and achieve greater overall efficiency in all aspects of operations . especially , Use IIoT Data and AI Preventive maintenance systems to predict and prevent equipment problems are saving millions of dollars in unplanned downtime costs . From today to 2026 year , The global artificial intelligence in the Internet of things market is expected to 27% The annual compound growth rate of .
2. Human beings enhance and expand reality ： These revolutionary technologies are used for IIoT, Enhance the environment by superimposing computer-generated images on user views in the real world . By merging the two worlds , They can provide more information about the actual environment by enhancing the senses or creating completely artificial experiences . Use case adoption is embodied in three main functions ： 1. The product design 、 Vision of space management and staff training / Interaction ;2. Equipment diagnosis and inspection ;3. Product line optimization and order picking .
3. Fog calculation ：  in consideration of IIoT A lot of data captured by the network , Cloud computing is now considered priceless , Because it allows enterprises to exceed the normal available storage space when hosting additional servers offsite . however , Yun He IIoT Long distances between devices can cause propagation and transmission delays . A large amount of computing load on a single ECS will also cause processing and queuing delays . Besides ,IIoT The large and growing number of intelligent devices involved in cloud computing may be limited by bandwidth and scalability 、 Speed and computational problems . by comparison , Fog dispersion computing pushes data and intelligence to the location of （ Or close to ） Analysis platform of data source . A form of edge calculation , Fog pushes intelligence to the edge of the network , To achieve real-time device control 、 Safety and management . This is from a centralized approach to IIoT The network becomes decentralized 、 Part of the overall transformation of edge driven but centrally manageable design .
4. Big data analysis ：  As the device collects IIoT The amount of data generated continues to grow exponentially , Big data storage and analysis are helping to understand it and provide valuable insights . Big data analysis (BDA) Capture large amounts of unstructured data and organize them into smaller datasets to improve decision making . Big data analysis will provide different types of IIOT Insight , Descriptive 、 Diagnostic 、 Predictive and normative analysis . Recent big data analysis innovations and new machine learning algorithms make real-time analysis solutions possible , To compare historical trends with forward-looking forecasts , So that front-line managers can more accurately predict future performance .
5. Number twin ： Applied to industrial Internet of things , The concept of digital twin refers to the digital reproduction or representation of physical machines and processes in cyberspace . By acting as a proxy for the physical system , Digital twins allow users to access the structure of machines and processes 、 Context and behavior , In order to understand the past 、 Present and potential future states and conditions provide a window . for example , Chevron hopes to use the digital twin model to predict maintenance problems faster , And save millions of dollars . According to the Gartner call ,75% Organizations implementing IOT technologies have used digital twin models as part of their systems , Or plan for the future 4 Implemented within the year .
6. network connections ：  If there is no reliable connection , The industrial Internet of things will become unproductive , Your supply chain will also be negatively affected . The problem may be related to a particular sensor or machine . however , If the same error is common in the same factory , It may be a network connection problem . for example ,Antaira On its industrial switch, there is a system named “VeriPHy” Unique diagnostic function of , It can help locate possible faults in the wiring . These types of diagnostic tools help solve connection problems that customers may encounter . We are based on Web Network management suite Antaira NMS Enables administrators to remotely monitor and manage LAN Connecting devices on , Include a list with logs and topology images .Antaira NMS Equipment connection problems will be located and real-time troubleshooting will be conducted , To reduce unplanned network downtime .
7. All things in industry are interconnected ： All things in industry are interconnected (IIoT) It is a kind of conceptualization 、 More broadly 、 A more comprehensive Internet of things (IoT). It is defined as... In a widely distributed ecosystem “ personnel 、 technological process 、 Network connection of data and things ”, The Internet of things only refers to physical objects or devices on more centralized platforms . for example , The Internet of things includes machine to machine (M2M) signal communication .IIoT By including M2M And man to machine (P2M) And people to people (P2P) This is further promoted . For all that , In the early stage of industrial application ,IIoT A high level of standardization and interoperability is still required to move forward .
8. Device network security ：  The increase of wireless connections in industrial facilities has expanded the attack surface of network threats . Besides , Industrial Internet of things components and devices such as industrial routers and industrial Ethernet switches are usually not protected by network security like other network tools , Thus vulnerable to attack . Another constant concern is IT and OT Integration of environment , This may allow an attacker to pass IT Infrastructure access OT. although “ Industrial grade ” Network devices are designed to withstand moisture 、 Vibration 、 impact 、 Corrosion and high EMI, But they usually don't have built-in security .Antaira Rugged equipment has been strengthened , Can withstand industrial environment and network threats . for example ,Antaira ARS-7235-AC WAP/ Routers provide advanced encryption 、 Temporary Key Integrity Protocol .